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	<title>Comments on: Machine learning</title>
	<atom:link href="http://www.johndcook.com/blog/2008/12/03/machine-learning/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.johndcook.com/blog/2008/12/03/machine-learning/</link>
	<description>The blog of John D. Cook</description>
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		<title>By: Karl Ove Hufthammer</title>
		<link>http://www.johndcook.com/blog/2008/12/03/machine-learning/comment-page-1/#comment-10521</link>
		<dc:creator>Karl Ove Hufthammer</dc:creator>
		<pubDate>Thu, 04 Dec 2008 11:01:33 +0000</pubDate>
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		<description>One of the fortune cookies in R (package ‘fortunes’, fortune 50) has this quote:

To paraphrase provocatively, ‘machine learning is statistics minus any checking of models and assumptions’.
   – Brian D. Ripley (about the difference between machine learning and statistics)
      useR! 2004, Vienna (May 2004)</description>
		<content:encoded><![CDATA[<p>One of the fortune cookies in R (package ‘fortunes’, fortune 50) has this quote:</p>
<p>To paraphrase provocatively, ‘machine learning is statistics minus any checking of models and assumptions’.<br />
   – Brian D. Ripley (about the difference between machine learning and statistics)<br />
      useR! 2004, Vienna (May 2004)</p>
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		<title>By: Brendan O'Connor</title>
		<link>http://www.johndcook.com/blog/2008/12/03/machine-learning/comment-page-1/#comment-10487</link>
		<dc:creator>Brendan O'Connor</dc:creator>
		<pubDate>Wed, 03 Dec 2008 17:58:56 +0000</pubDate>
		<guid isPermaLink="false">http://www.johndcook.com/blog/?p=1019#comment-10487</guid>
		<description>hah!</description>
		<content:encoded><![CDATA[<p>hah!</p>
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		<title>By: Daniel Lemire</title>
		<link>http://www.johndcook.com/blog/2008/12/03/machine-learning/comment-page-1/#comment-10485</link>
		<dc:creator>Daniel Lemire</dc:creator>
		<pubDate>Wed, 03 Dec 2008 15:58:04 +0000</pubDate>
		<guid isPermaLink="false">http://www.johndcook.com/blog/?p=1019#comment-10485</guid>
		<description>The main difference is that statistics was designed for an age where having 30 samples was a lot. Machine Learning copes with millions of samples. I do multidimensional analysis (OLAP) and deal with billions of samples.

Guess who is on top of the food chain! Me! ;-)</description>
		<content:encoded><![CDATA[<p>The main difference is that statistics was designed for an age where having 30 samples was a lot. Machine Learning copes with millions of samples. I do multidimensional analysis (OLAP) and deal with billions of samples.</p>
<p>Guess who is on top of the food chain! Me! <img src='http://www.johndcook.com/blog/wp-includes/images/smilies/icon_wink.gif' alt=';-)' class='wp-smiley' /> </p>
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